Integrated System Models for Networks with Generators &amp; Inverters

Venkatramanan, D.; Singh, Manish K.; Ajala, Olaolu; Domínguez-García, Alejandro D.; Dhople, Sairaj V.

doi:10.48550/arxiv.2203.08253

Cited by 2 publications

(3 citation statements)

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“…where the constant c is set to scale the vector's magnitude. For an arbitrary three-phase signal, (11) permits representation in a two-dimensional vector as follows: [15], [17] (see Chapter 4 in [15] and [17]):…”

Section: A Simplification: Averaging Dynamicsmentioning

confidence: 99%

“…IBRs controls commonly employ Park's Transform since it has the property of reducing the controls' bandwidth requirements in order to achieve zero steady-state error. Hence, the model developer needs to be more aware of the effects that simplifications could have, not just on the model precision but also on the reliability of the control performance [11].…”

Section: Inverter Based Resources (Ibr) Modelingmentioning

confidence: 99%

“…Composite system models for the network circuits, generators, and inverters of different types are described in [10], [11].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Revisiting Power Systems Time-domain Simulation Methods and Models

Lara¹,

Henriquez-Auba²,

Ramasubramanian³

et al. 2023

Preprint

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The changing nature of power systems dynamics is challenging present practices related to modeling and study of system-level dynamic behavior. While developing new techniques and models to handle the new modeling requirements, it is also critical to review some of the terminology used to describe existing simulation approaches and the embedded assumptions. This paper provides a first-principles review of the simplifications and transformations commonly used in the formulation of time-domain simulation models. It introduces a taxonomy and classification of time-domain simulation models depending on their frequency bandwidth, network representation, and software availability. Furthermore, it focuses on the fundamental aspects of averaging techniques, and model reduction approaches that result in modeling choices, and discusses the associated challenges and opportunities of applying these methods in systems with large shares of Inverter Based Resources (IBRs). The paper concludes with an illustrative simulation that compares the trajectories of an IBR-dominated system.

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Section: A Simplification: Averaging Dynamicsmentioning

confidence: 99%

Section: Inverter Based Resources (Ibr) Modelingmentioning

confidence: 99%

See 1 more Smart Citation

Revisiting Power Systems Time-domain Simulation Methods and Models

Lara¹,

Henriquez-Auba²,

Ramasubramanian³

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

Prioritization of Passive Parameters from Modified Averaging Approach-Based Computation (MAAC) Methodology for Ascertaining Formation of Single and Multi-Location Unintentional Islands

et al. 2022

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In the present scenario, the integration of distributed generation (DG) sources into the grid is inevitably required for meeting demand and ameliorating the power quality. High integration levels can form unintentional islands which need to be recognized to provide safety. In this context, 64 passive parameters have been tested in the MATLAB/SIMULINK environment for extensive islanding and non-islanding switching events on standard IEEE 13, 34, and 37 bus distribution test feeders (DTFs) integrated with photovoltaic (PV) inverter-based and rotating-based (induction generator) DG sources at multiple locations. In order to obtain effective passive parameters, a modified averaging approach-based computation (MAAC) methodology has been proposed. The proposed methodology computes the averaged islanding and non-islanding values of all ‘64’ parameters and prioritizes them accordingly by threshold value comparison. Additionally, it lessens the computational burden. The parameter threshold setting is simplified by obtaining threshold values directly from IEEE 1547-2018, UL1741, and IEEE 929-2000 grid interconnection standards, and the threshold values obtained are the same for the three DTFs. As a result, a generalized solution has been provided. The simulation results confer a set of the overall most effective passive parameters for ascertaining islanding, especially for a complex scenario of multi-DG multi-location island formations.

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Integrated System Models for Networks with Generators & Inverters

Cited by 2 publications

References 0 publications

Revisiting Power Systems Time-domain Simulation Methods and Models

Revisiting Power Systems Time-domain Simulation Methods and Models

Prioritization of Passive Parameters from Modified Averaging Approach-Based Computation (MAAC) Methodology for Ascertaining Formation of Single and Multi-Location Unintentional Islands

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